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DC Field | Value | Language |
---|---|---|
dc.citation.conferencePlace | CH | - |
dc.citation.conferencePlace | Kaohsiung, TAIWAN | - |
dc.citation.endPage | 237 | - |
dc.citation.startPage | 232 | - |
dc.citation.title | 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012 | - |
dc.contributor.author | Bae, Joonbum | - |
dc.contributor.author | Haninger, Kevin | - |
dc.contributor.author | Wai, Dennis | - |
dc.contributor.author | Garcia, Xochitl | - |
dc.contributor.author | Tomizuka, Masayoshi | - |
dc.date.accessioned | 2023-12-20T02:06:20Z | - |
dc.date.available | 2023-12-20T02:06:20Z | - |
dc.date.created | 2013-06-05 | - |
dc.date.issued | 2012-07-11 | - |
dc.description.abstract | Various techniques have been developed to monitor a patient's motion for rehabilitation, but many of them are expensive or inadequate for monitoring motions in daily living. In this paper, a network-based monitoring system, which consists of wireless sensor modules, computers at local and remote sites connected via the Internet, and a user-friendly monitoring program, is proposed. The wireless sensor module is an array of lightweight Arduino-powered inertia measurement units (IMUs) with wireless communication powered by the ZigBee protocol. The wireless sensor modules measure kinematic information of a human body, and the measured data is analyzed at the local and host computers which are connected via the Internet. For easy observation and monitoring, a 3D human model is animated in both computers. In order to verify the performance of the proposed system, gait motions are monitored and analyzed by the proposed system with a shoe-type ground reaction force measurement system. The experimental results show that the proposed monitoring system can be used as a method to cheaply and noninvasively provide kinematic information conducive towards rehabilitation for patients, even without the presence of a trained specialist. | - |
dc.identifier.bibliographicCitation | 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012, pp.232 - 237 | - |
dc.identifier.doi | 10.1109/AIM.2012.6265884 | - |
dc.identifier.isbn | 978-146732575-2 | - |
dc.identifier.scopusid | 2-s2.0-84866941212 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/46792 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6265884 | - |
dc.identifier.wosid | 000309064200039 | - |
dc.language | 영어 | - |
dc.publisher | 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012 | - |
dc.title | A Network-Based Monitoring System for Rehabilitation | - |
dc.type | Conference Paper | - |
dc.date.conferenceDate | 2012-07-11 | - |
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